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5 дней назад

Senior/Lead Big Data Engineer (Databricks + GCP)

Формат работы
remote (только Europe)/onsite
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
Poland/Romania/Bulgaria
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior/Lead Big Data Engineer (Databricks + GCP): Building scalable batch and streaming data pipelines and cloud-native data platforms on GCP with an accent on Databricks, Apache Spark, Python, SQL, and modern data modeling. Focus on designing reliable lakehouse architectures, optimizing large-scale processing, and delivering data solutions from discovery through production deployment.

Location: Romania, Bulgaria, or Poland; remote or office work

Company

hirify.global delivers engineering and technology solutions, including cloud-based data platforms and analytics systems.

What you will do

  • Design, develop, and maintain scalable batch and streaming data pipelines.
  • Build and optimize data processing solutions with Python, SQL, Java, Apache Spark, and Databricks.
  • Create cloud-native data architectures using BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage.
  • Implement data transformation, modeling, and analytics engineering practices with dbt and Dataform.
  • Collaborate with stakeholders, architects, and engineering teams to translate requirements into technical solutions.
  • Support end-to-end delivery from proofs of concept and MVPs to production deployments and platform enhancements.

Requirements

  • 5+ years of professional experience in Big Data or Data Engineering.
  • Advanced Python and SQL skills for large-scale data processing and transformation.
  • Hands-on experience with GCP, Apache Spark, Cloud Dataflow or Apache Beam, and Databricks lakehouse solutions.
  • Experience with Apache Airflow or Cloud Composer, Kafka or Google Cloud Pub/Sub, BigQuery, dbt, and Dataform.
  • Strong analytical, troubleshooting, problem-solving, and stakeholder communication skills.
  • Upper-intermediate or higher English.

Culture & Benefits

  • Remote or office-based work arrangement.
  • Collaborative engineering environment with participation in technical design and architecture decisions.
  • Opportunities to contribute across the full project lifecycle and to continuous platform improvement.

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